Search results for " math"

showing 10 items of 11183 documents

Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests

2021

We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to investigate the effect of large trees to the locations of seedlings. In the model, every point in x has a parametric influence kernel or signal, which together form an influence field. Conditionally on the parameters, the influence field acts as a spatial covariate in the intensity of the model, and the intensity itself is a non-linear function of the parameters. Points outside the observation window may affect the influence field inside the window. We propose an edge correction to account for this missing data. The par…

0106 biological sciencesStatistics and ProbabilityFOS: Computer and information sciences62F15 (Primary) 62M30 60G55 (Secondary)MCMCGaussianBayesian inferenceMarkovin ketjutStatistics - Applications010603 evolutionary biology01 natural sciencesCox processMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeregeneraatio (biologia)Applied mathematicsApplications (stat.AP)0101 mathematicsLaplace approximationStatistics - MethodologyGeneral Environmental ScienceParametric statisticsMathematicsspatial random effectsbayesilainen menetelmäMarkov chain Monte CarloFunction (mathematics)15. Life on landMissing dataMonte Carlo -menetelmätcompetition kernelLaplace's methodKernel (statistics)symbolstree regenerationpuustometsänhoitomatemaattiset mallitStatistics Probability and Uncertainty
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Variational Approximations for Generalized Linear Latent Variable Models

2017

Generalized linear latent variable models (GLLVMs) are a powerful class of models for understanding the relationships among multiple, correlated responses. Estimation, however, presents a major challenge, as the marginal likelihood does not possess a closed form for nonnormal responses. We propose a variational approximation (VA) method for estimating GLLVMs. For the common cases of binary, ordinal, and overdispersed count data, we derive fully closed-form approximations to the marginal log-likelihood function in each case. Compared to other methods such as the expectation-maximization algorithm, estimation using VA is fast and straightforward to implement. Predictions of the latent variabl…

0106 biological sciencesStatistics and ProbabilityMathematical optimizationBinary numberfactor analysisLatent variableordination010603 evolutionary biology01 natural sciences010104 statistics & probabilityItem response theoryDiscrete Mathematics and CombinatoricsApplied mathematicslatent trait0101 mathematicsLatent variable modelMathematicsta112item response theoryFunction (mathematics)Latent class modelMarginal likelihoodfaktorianalyysipappisvihkimysmultivariate analysisvariational approximationStatistics Probability and UncertaintyCount data
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Environmental Variability and Semelparity vs. Iteroparity as Life Histories

2002

Research on the evolution of life histories addresses the topic of fitness trade-offs between semelparity (reproducing once in a lifetime) and iteroparity (repeated reproductive bouts per lifetime). Bulmer (1994) derived the relationship v+P(A)<1 (P(A) is the adult survival;vb(S) and b(S) are the offspring numbers for iteroparous and semelparous breeding strategies, respectively), under which a resident semelparous population cannot be invaded by an iteroparous mutant when the underlying population dynamics are stable. We took Bulmer's population dynamics, and added noise in juvenile and adult survival and in offspring numbers. Long-term coexistence of the two strategies is possible in much…

0106 biological sciencesStatistics and ProbabilityOffspringPopulation DynamicsPopulationBiologyModels Biological010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyAnimalsJuvenileeducationSurvival rateEcosystemSemelparity and iteroparityeducation.field_of_studyGeneral Immunology and MicrobiologyReproductionApplied MathematicsGeneral MedicineBiological evolutionBiological EvolutionSurvival Rate010601 ecologyParityModeling and SimulationGeneral Agricultural and Biological SciencesDemographyJournal of Theoretical Biology
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Effects of patch number and dispersal patterns on population dynamics and synchrony.

2000

In this paper, we examine the effects of patch number and different dispersal patterns on dynamics of local populations and on the level of synchrony between them. Local population renewal is governed by the Ricker model and we also consider asymmetrical dispersal as well as the presence of environmental heterogeneity. Our results show that both population dynamics and the level of synchrony differ markedly between two and a larger number of local populations. For two patches different dispersal rules give very versatile dynamics. However, for a larger number of local populations the dynamics are similar irrespective of the dispersal rule. For example, for the parameter values yielding stab…

0106 biological sciencesStatistics and ProbabilityPopulationPopulation DynamicsBiology010603 evolutionary biology01 natural sciencesPopulation densityModels BiologicalGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesQuantitative Biology::Populations and EvolutionAnimalsLocal populationPopulation dynamicseducation030304 developmental biologyPopulation Density0303 health scienceseducation.field_of_studyGeneral Immunology and MicrobiologyEcologyApplied MathematicsHigh intensityDynamics (mechanics)General MedicineRicker modelModeling and SimulationBiological dispersalGeneral Agricultural and Biological SciencesJournal of theoretical biology
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Spatio-Temporal model structures with shared components for semi-continuous species distribution modelling

2017

Abstract Understanding the spatio-temporal dynamism and environmental relationships of species is essential for the conservation of natural resources. Many spatio-temporally sampled processes result in continuous positive [ 0 , ∞ ) abundance datasets that have many zero values observed in areas that lie outside their optimum niche. In such cases the most common option is to use two-part or hurdle models, which fit independent models and consequently independent environmental effects to occurrence and conditional-to-presence abundance. This may be correct in some cases, but not as much in others where the detection probability is related to the abundance. The aim of this work is to infer the…

0106 biological sciencesStatistics and ProbabilityProcess (engineering)Computer science010604 marine biology & hydrobiologyNicheManagement Monitoring Policy and Lawcomputer.software_genre01 natural sciencesNatural resourceEnvironmental niche modelling010104 statistics & probabilityAbundance (ecology)Component (UML)Data miningDynamism0101 mathematicsComputers in Earth SciencescomputerBayesian krigingSpatial Statistics
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Seed Bank in Annuals: Competition Between Banker and Non-banker Morphs

2002

Seed bank is a plant life history strategy against the unpredictability of the biotic and the abiotic environment. We simulated competition between a seed banking and a non-banking morph of an annual plant. A constant fraction of the banker morph seeds was allocated to the seed bank, where they had a constant mortality and germination rate. All surviving seeds of the non-banker morph germinated in the next generation. The seedlings of both morphs experienced similar density-dependent mortality. Whether one of the morphs wins or the morphs coexist was evaluated from parameter space plots and statistically with logistic regression analysis. All parameters of the model had a significant, nonli…

0106 biological sciencesStatistics and Probabilitygenetic structuresmedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGerminationModel parametersBiologyModels Biological010603 evolutionary biology01 natural sciencesGeneralLiterature_MISCELLANEOUSGeneral Biochemistry Genetics and Molecular BiologyPlant lifeCompetition (biology)BotanyEcosystemBiological sciencesEcosystemreproductive and urinary physiologyComputingMethodologies_COMPUTERGRAPHICSmedia_commonAbiotic componentGeneral Immunology and MicrobiologyReproductionApplied MathematicsfungiGeneral Medicine15. Life on landhumanitiesLogistic ModelsAgronomyGerminationModeling and SimulationSeedsAnnual plantGeneral Agricultural and Biological Sciencespsychological phenomena and processes010606 plant biology & botanyJournal of Theoretical Biology
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Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

2010

Abstract Background Synechocystis sp. PCC6803 is a cyanobacterium considered as a candidate photo-biological production platform - an attractive cell factory capable of using CO2 and light as carbon and energy source, respectively. In order to enable efficient use of metabolic potential of Synechocystis sp. PCC6803, it is of importance to develop tools for uncovering stoichiometric and regulatory principles in the Synechocystis metabolic network. Results We report the most comprehensive metabolic model of Synechocystis sp. PCC6803 available, iSyn669, which includes 882 reactions, associated with 669 genes, and 790 metabolites. The model includes a detailed biomass equation which encompasses…

0106 biological sciencesSystems biologyIn silicoMetabolic networkComputational biologyBiologyModels Biological01 natural sciencesMetabolic engineeringGene Knockout Techniques03 medical and health sciencesStructural BiologyModelling and Simulation010608 biotechnologyBotanyBiomassPhotosynthesislcsh:QH301-705.5Molecular Biology030304 developmental biologyAutotrophic Processes0303 health sciencesGene Expression ProfilingApplied MathematicsSynechocystisSynechocystisGenomicsDarknessbiology.organism_classificationComputer Science ApplicationsFlux balance analysislcsh:Biology (General)Genes BacterialAutotrophic ProcessesModeling and SimulationEnergy sourceGenome BacterialResearch ArticleBMC Systems Biology
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An Algebraic Derivation of Chao’s Estimator of the Number of Species in a Community Highlights the Condition Allowing Chao to Deliver Centered Estima…

2014

Anne Chao proposed a very popular, nonparametric estimator of the species richness of a community, on the basis of a limited size sampling of this community. This expression was originally derived on a statistical basis as a lower-bound estimate of the number of missing species in the sample and provides accordingly a minimal threshold for the estimation of the total species richness of the community. Hereafter, we propose an alternative, algebraic derivation of Chao’s estimator, demonstrating thereby that Chao’s formulation may also provide centered estimates (and not only a lower bound threshold), provided that the sampled communities satisfy a specific type of SAD (species abundance dist…

0106 biological sciences[ SDV.BID ] Life Sciences [q-bio]/BiodiversityIdeal (set theory)Article SubjectEstimatorSampling (statistics)[SDV.BID]Life Sciences [q-bio]/Biodiversity15. Life on land010603 evolutionary biology01 natural sciencesUpper and lower bounds010104 statistics & probabilitySample size determinationStatisticsSpecies richness0101 mathematicsAlgebraic numberRelative abundance distributionMathematicsResearch ArticleInternational Scholarly Research Notices
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Estimation of local extinction rates when species detectability covaries with extinction probability: is it a problem ?

2006

Estimating the rate of change of the composition of communities is of direct interest to address many fundamental and applied questions in ecology. One methodological problem is that it is hard to detect all the species present in a community. Nichols et al. presented an estimator of the local extinction rate that takes into account species probability of detection, but little information is available on its performance. However, they predicted that if a covariance between species detection probability and local extinction rate exists in a community, the estimator of local extinction rate complement would be positively biased. Here, we show, using simulations over a wide range of parameters…

0106 biological sciences[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]Extinction probabilityEcology[SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT]Sampling (statistics)Estimator15. Life on landCovariance010603 evolutionary biology01 natural sciencesStatistical power010104 statistics & probabilityLocal extinctionStatisticsRange (statistics)0101 mathematicsVital rates[ SDV.OT ] Life Sciences [q-bio]/Other [q-bio.OT]Ecology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSMathematics
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Incidence and control of black spot syndrome of tiger nut

2017

Tiger nut (Cyperus esculentum) is a very profitable crop in Valencia, Spain, but in the last years, part of the harvested tubers presents black spots in the skin making them unmarketable. Surveys performed in two consecutive years showed that about 10% of the tubers were severely affected by the black spot syndrome whose aetiology is unknown. Disease control procedures based on selection of tubers used as seed (seed tubers) or treatment with hot-water and/or chemicals were assayed in greenhouse. These assays showed that that this syndrome had a negative impact on the germination rate, tuber size and yield. Selection of asymptomatic seed tubers reduced drastically the incidence of the black …

0106 biological sciencesbiologyfungifood and beveragesbiology.organism_classification01 natural sciencesPlant diseaseFungicideCrop010104 statistics & probabilitychemistry.chemical_compoundHorticultureCyperusAgronomyTrisodium phosphatechemistryGerminationSodium hypochlorite0101 mathematicsAgronomy and Crop Science010606 plant biology & botanyBlack spotAnnals of Applied Biology
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